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Data Driven Epidemiologist Biostatistician

🌐 Remote💼 Full-time🗓 2026-07-25

Core

Design and execute epidemiological studies to analyze complex health datasets, predict risks, and support decisions influencing population health outcomes.

Role type

Senior Epidemiologist / Biostatistician

Builds

Statistical and predictive models for public health surveillance and outbreak identification

Domain

Public Health / Epidemiology

Deliverable

production ML models | dashboards & analysis

Required skills

Epidemiological study design, statistical analysis, proficiency in R/SAS/Python, experience with large-scale health datasets, data visualization, report writing

Preferred skills

Infectious disease or chronic disease epidemiology, machine learning, advanced predictive modeling, peer-reviewed publications

Technologies

R, Python, SAS

Responsibilities

Design and execute epidemiological studies, analyze large and diverse health datasets, build statistical and predictive models, transform analyses into actionable insights, collaborate with public health professionals, support surveillance efforts, communicate findings through reports and dashboards

Seniority

Senior, hands-on IC

Rewrite
## About the Role We're seeking a sharp, data-driven thinker who can translate numbers into action and insights into impact. As an Epidemiologist / Biostatistician, you will work at the core of public health intelligence—analyzing complex datasets to uncover patterns, predict risks, and support decisions that directly influence population health outcomes. This is not just a data role—it's a chance to shape how health challenges are understood and addressed. ## Responsibilities - Design and execute epidemiological studies that answer real-world health questions - Analyze large and diverse health datasets using R, Python, SAS, or similar tools - Build statistical and predictive models to identify trends, risks, and outbreaks - Transform complex analyses into clear, actionable insights for stakeholders - Collaborate with public health professionals, researchers, and policy teams - Support surveillance efforts and rapid-response data analysis when needed - Communicate findings through reports, dashboards, and presentations ## Requirements - Master's or PhD in Epidemiology, Biostatistics, Public Health, or related field - Strong foundation in statistical analysis and study design - Proficiency in at least one statistical programming language (R, SAS, or Python) - Experience working with large-scale health or clinical datasets - Ability to simplify complex data into clear, decision-ready insights - Strong attention to detail and problem-solving mindset ## Nice to Have - Experience in infectious disease or chronic disease epidemiology - Familiarity with machine learning or advanced predictive modeling - Publications in peer-reviewed journals - Experience in public health agencies, research institutions, or startups ## What We Offer - Competitive compensation - Remote-first flexibility - Growth opportunities in data science and public health - Meaningful work with real-world impact ## About the Company You'll be part of a mission-focused environment where data directly informs decisions that protect and improve lives. We value curiosity, precision, and innovation—and we give you the flexibility to do your best work.
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